Peter Jan van Leeuwen

According to our database, Peter Jan van Leeuwen authored at least 16 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Uncertainty Quantification for Deep Learning.

Peter Jan van Leeuwen, J. Christine Chiu, C. Kevin Yang

CoRR, 2024

2022

Bayesian inference for fluid dynamics: A case study for the stochastic rotating shallow water model.

Oana Lang, Peter Jan van Leeuwen, Dan Crisan, Roland Potthast

Frontiers Appl. Math. Stat., 2022

2021

Model Error Estimation Using the Expectation Maximization Algorithm and a Particle Flow Filter.

María Magdalena Lucini, Peter Jan van Leeuwen, Manuel Pulido

SIAM/ASA J. Uncertain. Quantification, 2021

On preconditioning the state formulation of incremental weak constraint 4D-Var.

Ieva Dauzickaite, Amos S. Lawless, Jennifer A. Scott, Peter Jan van Leeuwen

CoRR, 2021

Randomised preconditioning for the forcing formulation of weak constraint 4D-Var.

Ieva Dauzickaite, Amos S. Lawless, Jennifer A. Scott, Peter Jan van Leeuwen

CoRR, 2021

2020

Spectral estimates for saddle point matrices arising in weak constraint four-dimensional variational data assimilation.

Ieva Dauzickaite, Amos S. Lawless, Jennifer A. Scott, Peter Jan van Leeuwen

Numer. Linear Algebra Appl., 2020

Massively parallel implicit equal-weights particle filter for ocean drift trajectory forecasting.

Håvard Heitlo Holm, Martin Lilleeng Sætra, Peter Jan van Leeuwen

J. Comput. Phys. X, 2020

A new Framework for Causal Discovery.

Peter Jan van Leeuwen, Michael DeCaria, Nachiketa Chakaborty, Manuel Pulido

CoRR, 2020

2019

Sequential Monte Carlo with kernel embedded mappings: The mapping particle filter.

Manuel Pulido, Peter Jan van Leeuwen

J. Comput. Phys., 2019

Non-local Observations and Information Transfer in Data Assimilation.

Peter Jan van Leeuwen

Frontiers Appl. Math. Stat., 2019

Kernel Embedded Nonlinear Observational Mappings in the Variational Mapping Particle Filter.

Manuel Pulido, Peter Jan van Leeuwen, Derek J. Posselt

Proceedings of the Computational Science - ICCS 2019, 2019

Data-Driven Modeling for Wave-Propagation.

Tristan van Leeuwen, Peter Jan van Leeuwen, Sergiy Zhuk

Proceedings of the Numerical Mathematics and Advanced Applications ENUMATH 2019 - European Conference, Egmond aan Zee, The Netherlands, September 30, 2019

2018

Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filter.

Manuel Pulido, Peter Jan van Leeuwen

CoRR, 2018

2014

Aspects of Particle Filtering in High-Dimensional Spaces.

Peter Jan van Leeuwen

Proceedings of the Dynamic Data-Driven Environmental Systems Science, 2014

2013

Efficient fully nonlinear data assimilation for geophysical fluid dynamics.

Peter Jan van Leeuwen, Melanie Ades

Comput. Geosci., 2013

2003

A parallel data assimilation model for oceanographic observations.

Fons van Hees, Aad J. van der Steen, Peter Jan van Leeuwen

Concurr. Comput. Pract. Exp., 2003